Xie, Tian

21 publications

ICCV 2025 Adaptive Caching for Faster Video Generation with Diffusion Transformers Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Chenyang Zhang, Michael S. Ryoo, Tian Xie

TMLR 2025 Deep Active Learning in the Open World Tian Xie, Jifan Zhang, Haoyue Bai, Robert D Nowak

AAAI 2025 IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation Runxin Liu, Tian Xie, Jiaming Li, Lingyun Yu, Hongtao Xie

AAAI 2025 Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management Yi Feng, Xiao Wang, Tian Xie

CVPR 2025 Learning Flow Fields in Attention for Controllable Person Image Generation Zijian Zhou, Shikun Liu, Xiao Han, Haozhe Liu, Kam Woh Ng, Tian Xie, Yuren Cong, Hang Li, Mengmeng Xu, Juan-Manuel Perez-Rua, Aditya Patel, Tao Xiang, Miaojing Shi, Sen He

AAAI 2024 Adaptive Graph Learning for Multimodal Conversational Emotion Detection Geng Tu, Tian Xie, Bin Liang, Hongpeng Wang, Ruifeng Xu

NeurIPS 2024 Automating Data Annotation Under Strategic Human Agents: Risks and Potential Solutions Tian Xie, Xueru Zhang

TMLR 2024 Learning Under Imitative Strategic Behavior with Unforeseeable Outcomes Tian Xie, Zhiqun Zuo, Mohammad Mahdi Khalili, Xueru Zhang

TMLR 2024 Lookahead Counterfactual Fairness Zhiqun Zuo, Tian Xie, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili

ICLR 2024 MOFDiff: Coarse-Grained Diffusion for Metal-Organic Framework Design Xiang Fu, Tian Xie, Andrew Scott Rosen, Tommi S. Jaakkola, Jake Allen Smith

AISTATS 2024 Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai

TMLR 2023 Forces Are Not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations Xiang Fu, Zhenghao Wu, Wujie Wang, Tian Xie, Sinan Keten, Rafael Gomez-Bombarelli, Tommi Jaakkola

ICLRW 2023 Forward and Inverse Design of High $T_C$ Superconductors with DFT and Deep Learning Daniel Wines, Kevin F Garrity, Tian Xie, Kamal Choudhary

NeurIPS 2023 M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John Gregoire, Carla P. Gomes

NeurIPSW 2023 MOFDiff: Coarse-Grained Diffusion for Metal-Organic Framework Design Xiang Fu, Tian Xie, Andrew Scott Rosen, Tommi Jaakkola, Jake Allen Smith

NeurIPSW 2023 MOFDiff: Coarse-Grained Diffusion for Metal-Organic Framework Design Xiang Fu, Tian Xie, Andrew Scott Rosen, Tommi Jaakkola, Jake Allen Smith

TMLR 2023 Simulate Time-Integrated Coarse-Grained Molecular Dynamics with Multi-Scale Graph Networks Xiang Fu, Tian Xie, Nathan J. Rebello, Bradley Olsen, Tommi S. Jaakkola

NeurIPSW 2023 Solving Noisy Inverse Problems via Posterior Sampling: A Policy Gradient View-Point Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai

ICLR 2022 Crystal Diffusion Variational Autoencoder for Periodic Material Generation Tian Xie, Xiang Fu, Octavian-Eugen Ganea, Regina Barzilay, Tommi S. Jaakkola

NeurIPSW 2022 Forces Are Not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations Xiang Fu, Zhenghao Wu, Wujie Wang, Tian Xie, Sinan Keten, Rafael Gomez-Bombarelli, Tommi S. Jaakkola

ICLRW 2022 Simulate Time-Integrated Coarse-Grained Molecular Dynamics with Geometric Machine Learning Xiang Fu, Tian Xie, Nathan J. Rebello, Bradley Olsen, Tommi S. Jaakkola